This chapter presents an introduction to distributed data mining for continuous streams. It focuses on the situations where the data observed at different ...
People also ask
What is a distributed algorithm in data mining?
Which algorithm is used in data mining?
What is the data stream algorithm?
What are the techniques used in data mining streams?
This chapter presents an introduction to distributed data mining for continuous streams. It focuses on the situations where the data observed at different ...
Jun 3, 2020 · This paper proposes a distributed data flow mining algorithm based on matrix weighted association rules.
Introduction. Advances in computing and communication over wired and wireless networks have resulted in many pervasive distributed computing environments.
Data stream mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records.
Stream-processing systems are designed to support an emerging class of applications that require sophisticated and timely processing of high-volume data streams ...
Missing: Mining. | Show results with:Mining.
Mobile Agent based system for distributed data stream mining has a greater theoretical and practical significance. Previous article in issue
We present a distributed privacy-preserving protocol for the clustering of data streams. The participants of the se- cure protocol learn cluster centers ...
This dissertation develops a Parameter-Free high-performance approximate method (PPAH) for privacy preserving data stream mining on high-dimensional and ...
... data base displacement detection, data stream classification algorithms in a distributed environment to better address the problem of mining data streams.